226 to 250 of 9,680 Python Jobs

Responsibilities: Depending on your background (Software or Data/Analytics), your focus will include: Software Engineering Leaders: Lead the design and development of robust full-stack applications and APIs (Python/Django/Flask, React). Champion DevOps practices (CI/CD, Docker, Kubernetes) and cloud-native architectures (AWS, Azure, GCP). Guide cross-functional teams through agile delivery, technical … that support critical client outcomes. Analytics Engineering Leaders: Architect and optimise data pipelines, ELT workflows, and cloud warehouse platforms (Snowflake, BigQuery, Redshift). Lead teams working with dbt, SQL, Python, and Airflow to drive data transformation at scale. Ensure data governance, quality, and modelling standards are upheld across solutions. Work closely with data scientists and stakeholders to turn clean data … Have 7+ years’ experience in software, data, or analytics engineering. Have led engineering teams and mentored technical talent in high-performance environments. Are proficient in either modern software stacks (Python, React, cloud-native) or analytics tooling (SQL, dbt, Airflow, cloud warehouses) . Bring a strategic mindset , with the ability to connect technical execution to business value. Are committed to innovation More ❯

Responsibilities: Depending on your background (Software or Data/Analytics), your focus will include: Software Engineering Leaders: Lead the design and development of robust full-stack applications and APIs (Python/Django/Flask, React). Champion DevOps practices (CI/CD, Docker, Kubernetes) and cloud-native architectures (AWS, Azure, GCP). Guide cross-functional teams through agile delivery, technical … that support critical client outcomes. Analytics Engineering Leaders: Architect and optimise data pipelines, ELT workflows, and cloud warehouse platforms (Snowflake, BigQuery, Redshift). Lead teams working with dbt, SQL, Python, and Airflow to drive data transformation at scale. Ensure data governance, quality, and modelling standards are upheld across solutions. Work closely with data scientists and stakeholders to turn clean data … Have 7+ years’ experience in software, data, or analytics engineering. Have led engineering teams and mentored technical talent in high-performance environments. Are proficient in either modern software stacks (Python, React, cloud-native) or analytics tooling (SQL, dbt, Airflow, cloud warehouses) . Bring a strategic mindset , with the ability to connect technical execution to business value. Are committed to innovation More ❯

establish their Chief Data and AI Office. This senior individual contributor role focuses on solving complex Artificial Intelligence (AI) challenges and is ideal for someone with deep expertise in Python programming, and advanced machine learning techniques. We are seeking a candidate ready to architect and implement sophisticated solutions for real-world business challenges for our defense sector clients. This person … complex data pipeline design, feature engineering, and production-scale model deployment Design and build robust, scalable ML infrastructure, internal libraries, and reusable components that enhance team productivity Proficiency in Python and experience with ML libraries (scikit-learn, pandas, numpy) and deep learning frameworks (TensorFlow, PyTorch, Keras) Advanced hands-on experience with cloud platforms (AWS, GCP, Azure) and implementing production-grade … Computer Science, Machine Learning, Statistics, Applied Mathematics, or related field. 5-7+ years of experience in building and deploying machine learning models in production. Expert level proficiency in Python with demonstrated experience developing large-scale ML applications Deep understanding of advanced ML concepts including ensemble methods, neural architecture optimization, model compression, and distributed training techniques Familiarity with cloud platforms More ❯

Responsibilities Develop software, tools, models and data products in both cloud (AWS) and on-premises data science and data analytics environment using a variety of programming languages such as Python, R, Java, and SQL Design and implement solutions to complex, large dataset problems using modern, leading practices and innovative techniques Develop and integrate data science applications, products and reporting solutions … working as senior level developer in similar environments and with the tools (or similar tools) listed below On-premises and/or Cloud data science and data analytics environments Python and R in a data science toolkit environment or notebook environment AWS Cloud products (Glue, Redshift) Microsoft Power BI Report server or similar business intelligence tool -Development experience with a … focus on data manipulation and/or statistics -Experience with data visualizations, reporting systems and Dashboards -Experience with performance troubleshooting of Python and R code in a notebook or data science toolkit environment -Expertise with complex SQL and large data sets; query troubleshooting and optimization to include analyzing optimization plans and debugging stored procedures -Ability to learn new languages and More ❯

that support business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical … Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing work of junior team members. Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics. Deep knowledge of machine learning methods and their practical application. Experience managing multiple end-to-end data More ❯

that support business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical … Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing work of junior team members. Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics. Deep knowledge of machine learning methods and their practical application. Experience managing multiple end-to-end data More ❯

that support business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical … Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing work of junior team members. Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics. Deep knowledge of machine learning methods and their practical application. Experience managing multiple end-to-end data More ❯

that support business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical … Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing work of junior team members. Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics. Deep knowledge of machine learning methods and their practical application. Experience managing multiple end-to-end data More ❯

that support business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical … Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing work of junior team members. Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics. Deep knowledge of machine learning methods and their practical application. Experience managing multiple end-to-end data More ❯

Hartford, CT Duration: 12+ months/long-term Interview Criteria: Telephonic + ZoomDirect Client Requirement Key Responsibilities: Design, develop, and maintain scalable and high-performing applications using Java, AngularJS, Python, and Node.js. Participate in the full software development lifecycle, including requirements gathering, design, coding, testing, deployment, and support. Work with stakeholders to analyze business needs and translate them into technical … Computer Science, Engineering, or a related field (or equivalent experience 5+ years of hands-on experience in Java development. Strong proficiency in AngularJS for front-end development. Experience with Python and Node.js for backend development and scripting. Solid understanding of RESTful APIs, microservices, and integration patterns. Strong knowledge of relational databases (e.g., PostgreSQL, MySQL, or Oracle Familiarity with CI/ More ❯

artifacts through repositories like Nexus or Artifactory. Integrate COTS and FOSS components into the deployment pipelines, ensuring compatibility, licensing compliance, and structured packaging. Write automation and orchestration scripts in Python, Bash, or Groovy for build and deployment tasks. Containerize services and tools using Docker and Podman, authoring Dockerfiles and managing images across registries. Migrate or leverage build agents and CI … with Jenkins: building pipelines, scripting (Groovy), shared libraries, build agents. Expertise in Gradle and Java build systems, including managing multi-module projects and artifact management. Proficiency in scripting languages: Python, Bash, Groovy for workflow automation and tool integration. Experience with containerization: Docker and/or Podman, writing Dockerfiles, managing container workflows. Knowledge of integrating and managing COTS and FOSS components More ❯

science or equivalent AWS and/or CISSP Certifications 4+ years' AWS cloud-based technology services experience Skills Proficiency in Amazon Web Services ( AWS ) architecture and technologies such as Python, S3, Redshift, Postgres, Glue (catalog and ETL), EMR, Lambda, Step Functions,SQS/SNS, andECS, among others . Strong experience in data engineering, data warehousing, data security and ETL processes … Strong experience in Python object-oriented programming Knowledge of programming languages and tools such as Python, Java, Spring, Angular, SQL, and Shell scripting. Experience creating and using APIs for developing software Strong SQL Experience Strong analytical and problem-solving skills Good communication and collaboration skills Ability to drive code reviews with peers and managers to ensure that each increment adheres More ❯

SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: Integrate data from various sources, including relational databases, APIs, and streaming data sources. Implement data integration patterns and best practices. Work with API developers … implement DevOps best practices. Essential Skills & Experience: 10+ years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks. Strong proficiency in Python and Spark (PySpark) or Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob More ❯

SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: Integrate data from various sources, including relational databases, APIs, and streaming data sources. Implement data integration patterns and best practices. Work with API developers … implement DevOps best practices. Essential Skills & Experience: 10+ years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks. Strong proficiency in Python and Spark (PySpark) or Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob More ❯

SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: Integrate data from various sources, including relational databases, APIs, and streaming data sources. Implement data integration patterns and best practices. Work with API developers … implement DevOps best practices. Essential Skills & Experience: 10+ years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks. Strong proficiency in Python and Spark (PySpark) or Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob More ❯

SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: Integrate data from various sources, including relational databases, APIs, and streaming data sources. Implement data integration patterns and best practices. Work with API developers … implement DevOps best practices. Essential Skills & Experience: 10+ years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks. Strong proficiency in Python and Spark (PySpark) or Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob More ❯

SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: Integrate data from various sources, including relational databases, APIs, and streaming data sources. Implement data integration patterns and best practices. Work with API developers … implement DevOps best practices. Essential Skills & Experience: 10+ years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks. Strong proficiency in Python and Spark (PySpark) or Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob More ❯

of Defense cloud infrastructure with strong working knowledge in Kubernetes and container orchestration, configuration management, CI/CD, automation, AWS, Linux systems administration, scripting in Bash and programming in Python, and a background in big data solutions. Job Duties Support development and deployment of cloud infrastructure in AWS, especially EKS. Support development and deployment of non-cloud (Edge) infrastructure of … Strong working knowledge of PostgreSQL databases, including administration and troubleshooting Experience with application, container, and OS deployment, scaling, and management. Ability to develop in multiple programming languages such as Python, Bash, or Go. Familiarity with Git, Flux, and other development and deployment tools. Excellent problem-solving skills and the ability to identify and troubleshoot complex issues. Excellent oral and written More ❯

GovCloud/C2S) Familiar with Amazon Web Managed Services (AWS) JavaScript, Angular, Typescript, Node.js, MongoDB, JSON, SQL, XML High experience level with back-end programming languages (Java/Spring, Python) Working knowledge with datastores MongoDB, DynamoDB, PostgreSQL, S3, Redshift, Redis, and Elasticsearch Familiar with technologies jQuery, ASP/.Net, NoSQL, PL/SQL, LDAP, HTTP, REST/SOAP, RDBMS Familiar … support development of data integration and visualization applications Experience with cloud message APIs and usage of push notifications Specialization in Object Oriented Programming languages, scripting, and databases Familiar with Python, Groovy, Shell Script Role Requirements: Minimum education requirements: Bachelor's Degree Years Experience: 5+ Years relevant experience Full Time - Onsite Active TS/SCI Clearance Required Must be able to More ❯

major cloud providers like AWS, Azure, and Google Cloud Platform. • CI/CD Tools: Jenkins, GitLab CI, Travis CI. • Containerization: Docker, Kubernetes. • Configuration Management: Ansible, Chef, Puppet. • Scripting Languages: Python, PowerShell. • Monitoring Tools: Prometheus, Nagios, Splunk. • Version Control: Git, Bitbucket. • Soft Skills: Excellent communication, problem-solving, and collaboration skills to bridge technical and non-technical stakeholders. Senior: • Education and/… major cloud providers like AWS, Azure, and Google Cloud Platform. • CI/CD Tools: Jenkins, GitLab CI, Travis CI. • Containerization: Docker, Kubernetes. • Configuration Management: Ansible, Chef, Puppet. • Scripting Languages: Python, PowerShell. • Monitoring Tools: Prometheus, Nagios, Splunk. • Version Control: Git, Bitbucket. • Soft Skills: Excellent communication, problem-solving, and collaboration skills to bridge technical and non-technical stakeholders. SME: • Education and/… major cloud providers like AWS, Azure, and Google Cloud Platform. • CI/CD Tools: Jenkins, GitLab CI, Travis CI. • Containerization: Docker, Kubernetes. • Configuration Management: Ansible, Chef, Puppet. • Scripting Languages: Python, PowerShell. • Monitoring Tools: Prometheus, Nagios, Splunk. • Version Control: Git, Bitbucket. • Soft Skills: Excellent communication, problem-solving, and collaboration skills to bridge technical and non-technical stakeholders. CGI is required by More ❯

the U.S. for three (3) full years out of the last five (5) years Technologies you'll use: Databricks on Azure for data engineering and ML pipeline support. SQL, Python, Spark, Tableau. Git, Jira, CI/CD tools (e.g., Jenkins, CodeBuild). Jira, Confluence, SharePoint. Mural, Miro, or other collaboration/whiteboarding tools. What we'd like you to have … based version control and CI/CD pipelines and DevOps practices using Terraform for IaC. Emergency management domain knowledge a plus Advanced proficiency in data engineering and analytics using Python, Expert-level SQL skills for data manipulation and analysis and experience with Scala, preferred but not required (Python expertise can substitute) Proven experience breaking down complex ideas into manageable components More ❯

The ideal candidate will have strong working knowledge in Kubernetes and Container Orchestration, Configuration Management, CI/CD, Automation, AWS, Linux systems administration, Scripting in Bash and Programming in Python, and a background in Big Data solutions. The DevOps Engineer will be responsible for implementing infrastructure, automating deployment processes, and ensuring the monitoring, reliability and scalability of our services. Work … Proficient in configuration management tools such as Terraform and Ansible. • Experience with application, container, and OS deployment, scaling, and management. • Ability to develop in multiple programming languages such as Python, Bash, or Go. • Familiarity with Git, Flux, and other development and deployment tools. • Excellent problem-solving skills and the ability to identify and troubleshoot complex issues. • Excellent oral and written More ❯

an established business. Key Responsibilities End-to-end development of high-quality, scalable SaaS platforms from design through deployment and maintenance. Architect and implement robust backend services primarily using Python and PostgreSQL. Develop and maintain responsive, performant front-end applications with TypeScript and modern frameworks (e.g., NextJS, NodeJS). Collaborate with product owners, UX/UI designers, and other stakeholders … with at least 3 years in a senior or technical lead role. Proven expertise in full-stack development using: TypeScript (and JavaScript frameworks such as NextJS, Node, or Tailwind) Python (including frameworks like Django, Flask, or FastAPI) PostgreSQL and relational database design, optimisation, and maintenance. AI Development Tools such as Windsurf, Aider or Augment. Demonstrable experience building and scaling SaaS More ❯

The ideal candidate will have strong working knowledge in Kubernetes and Container Orchestration, Configuration Management, CI/CD, Automation, AWS, Linux systems administration, Scripting in Bash and Programming in Python, and a background in Big Data solutions. The DevOps Engineer will be responsible for implementing infrastructure, automating deployment processes, and ensuring the monitoring, reliability and scalability of our services. Work … Proficient in configuration management tools such as Terraform and Ansible. Experience with application, container, and OS deployment, scaling, and management. Ability to develop in multiple programming languages such as Python, Bash, or Go. Familiarity with Git, Flux, and other development and deployment tools. Excellent problem-solving skills and the ability to identify and troubleshoot complex issues. Excellent oral and written More ❯

related field 3-5+ years in DevSecOps or platform engineering and experience owning CI/CD pipelines Proficient in one or more high level programming language such as Python or Go Strong scripting (Python/Bash/YAML) and automation mindset; excellent documentation habits Proficient with workflow management tools: e.g. Jenkins, Gitlab-CI, Airflow, Kubernetes Proficient with IaC tools More ❯